Adaptive Droop-Based Hierarchical Optimal Voltage Control Scheme for VSC-HVdc Connected Offshore Wind Farm

被引：54

作者：

Huang, Sheng ^{[1
]}

Wu, Qiuwei ^{[2
]}

Liao, Wu ^{[1
]}

Wu, Gongping ^{[1
]}

Li, Xueping ^{[1
]}

Wei, Juan ^{[1
]}

机构：

[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China

[2] Tech Univ Denmark, Ctr Elect Power & Energy, Dept Elect Engn, DK-2800 Lyngby, Denmark

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2021年 / 17卷 / 12期

关键词：

Voltage control; Reactive power; Voltage measurement; Delays; Microgrids; Informatics; Decentralized control; Alternating direction method of multipliers (ADMM); droop curve; model predictive control (MPC); voltage control; wind farm (WF); MICROGRIDS; STABILITY; SYSTEM;

D O I：

10.1109/TII.2021.3065375

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An adaptive droop-based hierarchical optimal voltage control (DHOVC) scheme is proposed for voltage-source converter high-voltage-direct-current (VSC-HVdc) connected offshore wind farms (WFs). The wind turbines (WTs) and WF side VSC (WFVSC) are coordinated to minimize the voltage deviations of buses inside the WF from the nominal voltage and mitigate reactive power (Var) fluctuations of WTs. The model predictive control is used to improve the performance of the DHOVC scheme during a certain predictive horizon. A hierarchical solution method based on the alternating direction method of multipliers is developed to reduce the calculation burden of the central controller while improving the information privacy protection. During the predictive horizon, the WTs and WFVSC are coordinated to achieve the near global optimal performance without global information. A WF with 32 x 5MW WTs was used in the MATLAB/Simulink to test the proposed DHOVC scheme.

引用

页码：8165 / 8176

页数：12

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